我正在使用 sapply 和绘图。但是我无法为我使用 sapply 绘制的每条线赋予不同的颜色。有没有一种方法可以在每次调用 sapply 时增加一个变量，并使用该变量（VARIABLE）使用 plot_colors[VARIABLE] 更改颜色
plot_colors <- c("blue","red","forestgreen","black")
sapply(unique(ab$region[ab$region]), FUN=graphplot, REG=ab, tl=z, num=num+1)
graphplot <- function(l, REG, tl, num) {
dl <- REG[REG$region == l, tl]
datel <- REG[REG$region == l, "date"]
dl <- cbind(as.numeric(rownames(REG[REG$region == l, ])), REG[REG$region == l, tl])
lines(dl, type="l", pch=2, col=plot_colors[num])
num <- num + 1
}
这是完整的代码。
avg_data <- read.table("qes.tbl", header=T, sep=",")
avg_data
# dl <- avg_data[avg_data$region == "prod", "AveElapsedTime"]
#datel <- avg_data[avg_data$region == "prod", "date"]
#Creating the graph pdf in the below path to give as a link in the mail
FL <- 20120631
file <- paste("graph", FL, "pdf", sep=".")
plot_colors <- c("blue","red","forestgreen","black")
pdf(file, height=4.5, width=9.5, onefile=TRUE)
graphplot <- function(l, REG, tl, num) {
dl <- REG[REG$region == l, tl]
datel <- REG[REG$region == l, "date"]
dl <- cbind(as.numeric(rownames(REG[REG$region == l, ])), REG[REG$region == l, tl])
lines(dl, type="l", pch=2, col=plot_colors[num])
num <- num + 1
}
drawGraph <- function(ab, y, z, s) {
#Creating X axis
x <- ab[ab$region == "Beta", z]
y <- ab[,1]
g_range <- range(0,x[!is.na(x)])
plot(NA, type="l", col="orange", xlim= c(1, length(y)), ylim=g_range,axes=FALSE, ann=FALSE)
num=1
sapply(unique(ab$region[ab$region]), FUN=graphplot, REG=ab, tl=z, num)
box()
axis(1, at=1:length(y), lab=FALSE)
text(1:length(y), par("usr")[3] - 2, srt=45, adj=1.2, labels=y, xpd=T, cex=0.3)
scale <- s
axis(2, las=1, at=scale*0:g_range[2], cex.axis=0.3)
main_title<-as.expression(z)
#Caculationg Mean, Upper limit and lower limit using the below commands
MEANLIMIT <- seq(length=length(y), from=mean(x), by=0)
ULIMIT <- seq(length=length(y), from=mean(x) + 2.66*sum(abs(diff(x)))/length(x), by=0)
LLIMIT <- seq(length=length(y), from=mean(x) - 2.66*sum(abs(diff(x)))/length(x), by=0)
lines(MEANLIMIT, type="l", col="black")
lines(ULIMIT, type="l", pch=2, lty=2, col="grey")
lines(LLIMIT, type="l", pch=2, lty=2, col="black")
title(main=main_title, col.main="red", font.main=4)
title(xlab="Test Execution Date", col.lab=rgb(0,0.5,0))
title(ylab="Millisecond", col.lab=rgb(0,0.5,0))
legend("topright", g_range[2], main_title, cex=0.4, col=c("blue"), lty=1);
}
lab<-as.character(avg_data$date)
AET <- avg_data$AveElapsedTime
MTitle <- "AveElapsedTime"
#Creating graph for Average Elapsed time
drawGraph(avg_data, lab, MTitle, 5)
这是qes.tbl ..
date,region,AveElapsedTime
5/1/2012,preprod,23
5/2/2012,prod,76
5/3/2012,Beta,34
5/4/2012,prod,30
5/5/2012,Beta,22
5/6/2012,preprod,32
5/7/2012,Beta,21
5/8/2012,prod,44
5/9/2012,preprod,45
5/10/2012,Beta,23
5/11/2012,prod,50
5/13/2012,Beta,26
5/14/2012,preprod,33
5/15/2012,Beta,75
5/16/2012,preprod,56
5/17/2012,Beta,32
5/18/2012,preprod,67
5/19/2012,prod,40
structure(list(date = structure(c(3, 11, 12, 13, 14, 15, 16, 17, 18, 1, 2, 4, 5, 6, 7, 8, 9, 10), .Label = c("5/10/2012", "5/11/2012", "5/1/2012", "5/13/2012", "5/14/2012", "5/15/2012", "5/16/2012", "5/17/2012", "5/18/2012", "5/19/2012", "5/2/2012", "5/3/2012", "5/4/2012", "5/5/2012", "5/6/2012", "5/7/2012", "5/8/2012", "5/9/2012"), class = "factor"), region = structure(c(2, 3, 1, 3, 1, 2, 1, 3, 2, 1, 3, 1, 2, 1, 2, 1, 2, 3), .Label = c("Beta", "preprod", "prod"), class = "factor"), AveElapsedTime = c(23, 76, 34, 30, 22, 32, 21, 44, 45, 23, 50, 26, 33, 75, 56, 32, 67, 40)), .Names = c("date", "region", "AveElapsedTime"), class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18"))